Effect of Different Levels of Inorganic Fertilizer and Bio-Fertilizer for Soil Amelioration Growth and Yield of Field Pea (Pisum Sativum L.)

A field experiment was conducted during Rabi season (November- April) 2015-2016 to study the “Effect of bio-fertilizer and different levels of inorganic fertilizers for soil amelioration growth and yield of field pea (Pisum sativum L.)”at the Research Farm of Department of Soil Science, Sam Higginbottom Institute of Agriculture, Technology Science, Allahabad, The experiment was laid out in randomized block design with three levels of NPK ( 0%, 50%, 100%, RDF ) kg ha-1 and three levels of Bio-fertilizer (PSB, Rhizobium and PSB + Rhizobium 75% t ha-1 The treatments combinations were replicated three times and were allocated at random in each replication .The treatment combination T6 [Rhizobium + 100% RDF [N (25 kg ha-1),P(60 kg ha-1),K(20 kg ha-1)] gave the best result with the respect to plant height (82.02cm), number of branches plant-1 (16.93), Number of leaves plant-1(81.33), number of nodules plant-1 (13.27), fresh weight of plant (g)(114.93), dry weight of plant (g) 22.73 it gave highest number of pods plant-1 18.27, number of seeds pod-1-6.73, length of pod (cm)-7.00 and test weight 253.07g. Combined use of inorganic fertilizer and bio-fertilizers resulted in significant increase on enrichment of soil fertility status. The treatment T6 resulted in a slight decrease in soil PH 7.00 and significantly increases EC 0.277dSm-1, bulk density 1.34 g cm-3, particle density 2.67 g cm-3, soil pore space 49.69%, % organic carbon 0.81%, available N 330.59 Kg ha-1, P 32.37 Kg ha-1, K 197.85 Kg ha-1 in the soil .From the economical point of view, the same treatment gave the maximum profit of Rs 64,413with C:B ratio of 1: 2.34

ARE LEADERS BORN OR MADE?

ABSTRACT Leadership has paramount importance in present competitive business environment, because with the help of leadership a company will face all the problems very efficiently. Leaders are the key factor that guides and drives an organization in the path of success. Every organization is searching for leaders as their employees. This research paper is an attempt for achieving these objectives namely, to study whether the leaders are born or made, to know the importance of leadership and to analyze the responses of the present young generation towards leadership concept that whether leaders are made or born. This study is based on descriptive research design Convenience sampling technique is used for the selection of respondents of 160 (sample size ) and primary data is collected with the questionnaire as a tool .The collected and analyzed data reveals that majority of the respondents were opinioned that leaders are made but not born .Therefore, leaders are made as leadership is skill which can be learnt through education, training, continuous practice and experiences

Evaluating Biological Systems for Their Potential in Engineering Design

A team of biologists, engineers, and cognitive scientists has been working together for the past five years, teaching an upper level undergraduate course in biologically inspired design where half the class of forty students are biologists and other physical scientists and the other half are engineers (mechanical, materials, industrial, others). From this experience, we provide insights on how to teach students to evaluate biological systems for their potential in engineering design. We have found that at first, students are not familiar with developing their own question since, in most engineering design classes, the problem is prescribed along with clients who would like to have them solved. In our class, we challenge the students with defining a significant problem. The students with common challenges then are placed together in an interdisciplinary team with at least one biologist and one engineer. A detailed problem decomposition follows, identifying the hierarchy of systems and clearly specifying functions. This is essential for the next step of analogical reasoning. Analogical reasoning as applied to BID is a process of matching biological functions to engineered functions and transferring functions and mechanisms from biology to engineering. For each desired function, students may ask: what mechanisms does nature use for achieving the function? This question guides the exploration of the wealth of knowledge in biology by asking them to clearly define the function of interest, then search for natural processes that perform this function. To expand on this search space, the students next make a list of the same function performed by other organisms for a comparative analysis to deepen their understanding and extract key biological principles. Students then invert the function and identify keywords to search. They also must refer to general biology books to identify key organisms that perform the function the best (and hence are included in textbooks). Using databases, such as the Web of Science functions, they can try to select the ‘best’ articles. If one is lucky, a single biological system may serve as a near perfect match to lead to a successful BID. However, some of the most innovative designs are built from more than one biological system, something that evolution cannot always do. We call these compound analogies. At this point, the design iteration can take on a different approach, namely solution based rather than problem based. Here, the team takes a natural system and asks, how can this biological principle improve an engineered design or function. These twin processes: solution vs problem-based approaches both have led to innovative and creative design concepts in this interdisciplinary class. Key words: Biological systems; engineering design; interdisciplinary clas

Hydatid disease of proximal femur: a case report

Hydatid disease is the most common infection in Central Asia, Middle East, East Africa caused by Echinococcus which is a cestode. However infection to bone alone is very rare. We report a case of Hydatid cyst in bone parse. A 55 years old lady came with a complaint of pain over right hip since 1 year.  Radiologically found to be having osteolytic lesion over proximal femur for which surgery was done and biopsy report showed hydatid cyst. The case is reported for its rarity

Comparative efficacious study between preoperative pregabalin and gabapentin on postoperative pain in abdominal hysterectomy: an institutional experience

Background: Pain is a consistent and predominant complaint following surgical intervention including abdominal open hysterectomy. A multimodal approach has been suggested to improve postoperative analgesia and to reduce opioid related side effects. In this context we conducted a comparative study on efficacy between gabapentin and pregabalin on postoperative pain relief.Methods: In this prospective randomised study, 60 patients were divided in to two arms group G and group P. 900 mg of gabapentin and 300 mg of pregabalin were administered orally one hour before spinal anaesthesia to respective groups. Hemodynamic parameters such as heart rate, mean arterial pressure, respiratory rate was monitored pre, per and postoperatively. Also, the need for first analgesic dose and visual analog pain score were documented in all subjects of both groups. Statistical analysis with SPSS 16.0 performed.Results: There was significant fall in mean arterial pressure in group G than group P patients. Further the fall in mean pulse rate was more in group G compared to group P throughout pre, per and post-operative phases. In terms of mean postoperative time required for first dose of analgesic drug, pregabalin and gabapentin was required after 7 and 5 hours respectively. There was a statistically significant change in Visual Analogue Scale, showing pregabalin as better drug than gabapentin in post operative pain control with score 5 and 7 respectively.Conclusions: Pre-emptive analgesia with pregabalin appears to be superior to gabapentin as a part of multimodal perioperative pain management in abdominal hysterectomy

VERY LARGE SCALE INTEGRATION TINY CHIP WITH NANOPOWER SENSOR APPLICATIONS

Semiconductor devices have rapidly advanced over the past years increasing switching(on and off) speed and density of the device, causing an increase in power consumption and power dissipation; accordingly, the issues have been considered and improved . In CMOS 0.5μm process, the designed VLSI mirror-amplifier had power dissipation of 8.41 milliwatts. This technique is changed in this paper. The biasing is done in two steps proved to be correct procedure to improve overall power consumption. Source voltage was considered as 3V for the MOSIS process technology. Layout ,simulation and electrical characterization of the design were carried out by MENTOR GRAPHICS tool and CAD tools were used for the design Holding the scaling and process unchanged at 0.5μm as the previous design, the new VLSI design had power dissipation of 4.39 nanowatts in second step by reducing the dynamic loss. Multi-die chip placement is done for fabrication. More advanced 0.35um CMOS process is used for low threshold voltage and enhanced supply voltage range. This paper presents details of the key research works, results, completed chip layout and applications of the chip

Aggregation of a class of large-scale, interconnected, nonlinear dynamical systems

In this paper, the authors consider the issue of the construction of a meaningful average for a collection of nonlinear dynamical systems. Such a collection of dynamical systems may or may not have well defined ensemble averages as the existence of ensemble averages is predicated on the specification of appropriate initial conditions. A meaningful “average” dynamical system can represent the macroscopic behavior of the collection of systems and allow us to infer the behavior of such systems on an average. They can also prove to be very attractive from a computational perspective. An advantage to the construction of the meaningful average is that it involves integrating a nonlinear differential equation, of the same order as that of any member in the collection. An average dynamical system can be used in the analysis and design of hierarchical systems, and will allow one to capture approximately the response of any member of the collection

Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds

Deep learning models are extensively used in various safety critical applications. Hence these models along with being accurate need to be highly reliable. One way of achieving this is by quantifying uncertainty. Bayesian methods for UQ have been extensively studied for Deep Learning models applied on images but have been less explored for 3D modalities such as point clouds often used for Robots and Autonomous Systems. In this work, we evaluate three uncertainty quantification methods namely Deep Ensembles, MC-Dropout and MC-DropConnect on the DarkNet21Seg 3D semantic segmentation model and comprehensively analyze the impact of various parameters such as number of models in ensembles or forward passes, and drop probability values, on task performance and uncertainty estimate quality. We find that Deep Ensembles outperforms other methods in both performance and uncertainty metrics. Deep ensembles outperform other methods by a margin of 2.4% in terms of mIOU, 1.3% in terms of accuracy, while providing reliable uncertainty for decision making.Comment: 12 pages, 19 figures, ICML 2020 Workshop on Uncertainty and Robustness in Deep Learnin